MétaCan
Menu
Back to cohort
Record W2996631012

WITNESSING, TESTIMONY AND TRAUMA IN INDIAN SCHOOL DAYS

2019· article· en· W2996631012 on OpenAlexaboutno aff
Kamelia Talebian Sedehi

Bibliographic record

VenueIRIS Research product catalog (Sapienza University of Rome) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessIndigenousSexual abuseCriminologyNarrativeHistoryResidential schoolWork (physics)PsychologySociologyGender studiesPolitical scienceLawMedicineSuicide preventionSocioeconomicsPoison controlEnvironmental healthArtEngineeringLiterature
DOInot available

Abstract

fetched live from OpenAlex

Residential schools functioned from 1876 to 1996 in Canada in order to assimilate Indigenous children to Euro- Canadian culture. By implementation of Indian Act (1876), the Indigenous children were taken away from their parents and sent to these schools. The trauma that these kids underwent as a result of physical, mental and sexual abuse at these residential schools has been reflected in Basil H. Johnstons' Indian School Days. The novel will be analyzed based on Judith Herman's concept of trauma and Shoshana Felman and Dori Laub's concept of witnessting and testimony since the literary work can be a witness to the historical incidents that happened at residential schools in Canada. However, the novel also reflects the incidents that remained non-documented within various narratives within the selected novel.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0320.022
Scholarly communication0.0100.004
Open science0.0020.009
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.281
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueIRIS Research product catalog (Sapienza University of Rome)Same topicShort Stories in Global LiteratureFrench-language works237,207